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From patterns to pathways: gene expression data analysis comes of age
Many different biological questions are routinely studied using transcriptional profiling on
microarrays. A wide range of approaches are available for gleaning insights from the data …
microarrays. A wide range of approaches are available for gleaning insights from the data …
Antioxidants, reactive oxygen and nitrogen species, gene induction and mitochondrial function
There has been increasing interest, in recent years, in the possibility that reactive
oxygen/nitrogen species (ROS/RNS) act as signals, or mediators of changes, in cell function …
oxygen/nitrogen species (ROS/RNS) act as signals, or mediators of changes, in cell function …
[ספר][B] Handbook of natural language processing
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …
and techniques for implementing natural language processing in computer systems. Along …
Unsupervised grouped axial data modeling via hierarchical Bayesian nonparametric models with Watson distributions
This paper aims at proposing an unsupervised hierarchical nonparametric Bayesian
framework for modeling axial data (ie, observations are axes of direction) that can be …
framework for modeling axial data (ie, observations are axes of direction) that can be …
A literature network of human genes for high-throughput analysis of gene expression
We have carried out automated extraction of explicit and implicit biomedical knowledge from
publicly available gene and text databases to create a gene-to-gene co-citation network for …
publicly available gene and text databases to create a gene-to-gene co-citation network for …
[ספר][B] Text mining for biology and biomedicine
S Ananiadou, J McNaught - 2006 - Citeseer
Text mining is defined by Hearst (1999) as the automatic discovery of new, previously
unknown, information from unstructured textual data. This is often seen as comprising of …
unknown, information from unstructured textual data. This is often seen as comprising of …
Content-rich biological network constructed by mining PubMed abstracts
Background The integration of the rapidly expanding corpus of information about the
genome, transcriptome, and proteome, engendered by powerful technological advances …
genome, transcriptome, and proteome, engendered by powerful technological advances …
Text mining: generating hypotheses from MEDLINE
Hypothesis generation, a crucial initial step for making scientific discoveries, relies on prior
knowledge, experience, and intuition. Chance connections made between seemingly …
knowledge, experience, and intuition. Chance connections made between seemingly …
Mining MEDLINE: abstracts, sentences, or phrases?
A growing body of works address automated mining of biochemical knowledge from digital
repositories of scientific literature, such as MEDLINE. Some of these works use abstracts as …
repositories of scientific literature, such as MEDLINE. Some of these works use abstracts as …
[HTML][HTML] GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data
The immense growth in the volume of research literature and experimental data in the field
of molecular biology calls for efficient automatic methods to capture and store information. In …
of molecular biology calls for efficient automatic methods to capture and store information. In …